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Record W2894549011 · doi:10.5539/jas.v10n11p380

Drip Fertigation Technology for Enhancing Date Palm Productivity and Fruit Quality

2018· article· en· W2894549011 on OpenAlex
Naem Mazahrih, A. S. Al Sayari, S. A. Al Shamsi, Mohamed Ben Salah

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Agricultural Science · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicDate Palm Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFertigationPalmFertilizerEnvironmental sciencePhoenix dactyliferaMathematicsCultivarHorticultureAgronomyProductivityBiology

Abstract

fetched live from OpenAlex

A field experiment was conducted during two successive growing seasons, 2014/2015 and 2015/2016 to evaluate the effect of different fertilizer application methods on date palm (Phoenix dactylifera L.) yield and fruit quality grown in sandy soil. Strip block statistical design with three replicates was used on four selected date palm cultivars (Madjool, Sacchari, Kheyarah and Sggaa) as main treatments and three fertilizer application methods (Hydraulic injector, Surface Broadcast and By-pass tank) as sub main treatments. The results revealed significant increases in yield and fruit quality when using continuous fertigation by Hydraulic injector comparing with broadcast and By-pass tank traditional methods. The average of two seasons results indicated also that using Hydraulic injector method maximized Sacchari date yield by producing 69 kg per tree and resulted in the best water productivity (1.06 kg m-3). The use of fertigation method has significantly increased the date palm productivity by 81, 51.2, 66.7 and 72.8% in comparison to the traditional Surface Broadcast method for Madjool, Sacchari, Kheyarah and Sggaa, respectively. The mean fruit weights were significantly increased by 56.5, 72.1, 90.2 and 68.8% when using the hydraulic injector compared to the traditional broadcast application method for pervious date palm cultivars, respectively.  

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.778
Threshold uncertainty score0.560

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.323
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it